一个高效的椒盐噪声去除方法_英文_.pdfVIP

( ) 北京大学学报 自然科学版 ,第 42 卷 ,第 5 期 ,2006 年 9 月 Acta Scientiarum Naturalium Universitatis Pekinensis , Vol . 42 , No . 5 ( Sept . 2006) 1) An Eff icient SaltandPepper Noise Removal DON G Yiqiu 　X U S huf ang ( ) School of M athematical Sciences , Peking University , B eij ing , 100871 Abstract 　A more efficient twophase saltandpepper noise removal method is proposed. In the first phase , adaptive median filter is used to detect noisy pixels. In the second phase , a minimization problem is solved by global Barzilai and Borwein ( GBB) method. Through the improvement on edgepreserving regularization in the second phase , no regularization coefficient need to be α φ( ) α chosen , and the parameter of the edgepreserving potential function , t = | t | , can create adaptively. Comparing the results of removing noise , our method is better with much less running time , especially when the noise ratio is high . Key words 　image denoise ; saltandpepper noise ; adaptive median filter ; edgepreserving potential function ; regularization ; GBB method 一个高效的椒盐噪声去除方法 董艺秋 　徐树方 (北京大学数学科学学院 ,北京 ,100871) 摘 　要 　给出了一个更为简单高效的两阶段去除图象椒盐噪声的方法 。第一阶段 :应用 自适应中值滤波方法来检 测图像中的噪声点 ;第二阶段 :应用全局的BB 方法来求解一个极小化问题 。通过对第二阶段中保边正则化方法的 α 改进 ,不仅不